Principal - AWS Cloud Platform Engineer

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life‑changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first.

We’re looking for people who are determined to make life better for people around the world.

The Cloud and Connectivity organization is actively looking for an AWS Cloud Platform Engineer to join them to help enable a Cloud operations model. Do you like to solve challenges and have an interest in large scale impact? Would you like the ability to impact a global public and private cloud infrastructure operations through AI and Automation? If so, please apply.

You will work in our Cloud Engineering area working on the global technical operations of cloud computing capabilities for Lilly. Additionally, you would be working as part of the larger cloud foundation team on strategy for cloud services that will be offered by the Cloud Engineering teams. In this role, you will work closely with various teams and customers to ensure the reliability, performance, and continuous improvement of our cloud services.

This role will have the opportunity to work with the latest public cloud IaaS services. In addition, this role will have the opportunity to improve our cloud infrastructure services. Our goal is to improve all aspects of our infrastructure availability and reliability through repeatable patterns, new architectural designs, and improvements in observability to prevent outages and help increase value across the organization.

• Be Bold – You will drive Infrastructure Operations to never have to fix the same problem twice through adoption of AI OPS, Event Driven Automation, and robust Observability.
• Be Fast – You will accelerate initiatives in areas such as:
  Infrastructure AI OPS automation, cloud IaaS management, and cloud infrastructure as code to enable critical business projects.
• Be Proactive – You will have groundbreaking chances to transform our operations processes using proactive, predictive, and automated AI & Observability capabilities.
• Be Your Best – You will bring a high learning agility and Infrastructure operations/engineer skills to help us enable the Lilly Technology strategy, identifying tech opportunities, and accelerate our AI OPS journey.

• Cloud Platform Expertise: Advanced proficiency in AWS, including operations, deployment, scaling, and management of AWS Cloud native services. Experience with multi‑cloud environments (AWS, Azure, Google Cloud) is highly valued.
• Automation & Scripting: Strong skills in Python, Bash, Power Shell, and infrastructure‑as‑code tools (Terraform, Cloud Formation). Experience with configuration management and automation tools such as Ansible.
• Security & Compliance: Deep understanding of cloud security principles, regulatory standards (e.g., HIPAA), and best practices for securing cloud infrastructure and data.
• Monitoring & Performance Optimization: Experience with monitoring tools such as Splunk, performance tuning, and cost optimization strategies.
• Networking & Virtualization: Solid grasp of networking concepts, virtual networks, VPNs, SDN, and NFV.
• Dev Ops & CI/CD: Familiarity with Dev Ops methodologies and continuous integration/continuous deployment pipelines. Experience with Git Hub would be preferred.
• Problem‑Solving & Analytical
  
  Skills:
  
  Strong troubleshooting abilities, analytical thinking, and a track record of resolving complex technical issues.
• Collaboration & Communication: Excellent communication and interpersonal skills, with experience working across global and diverse teams and collaborating with customers to deliver tailored solutions.
• Operational Excellence: Experience in ITSM principles including incident, change, and service request management, after‑hours…